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The method for extraction of face distributed features from pixel intensity columns and rows is considered. The features were applied to original and segmented faces. The greatest difference for faces was observed for segmented images. The proposed statistical features were tested for a face searching.
A method for face parametrical statistical features extraction from intensity fragments and segments is considered. Pixel coordinates means are calculated. An algorithm for face classification is proposed. Illustration of features and classification process for given features are presented.
In the software engineering field different methodologies have been provided to support developers in their work. However, the development of systems proposes complex and different scenarios nowadays, and existing methodologies can hardly meet the requirements of all existing scenarios. This problem can be solved applying the situational method engineering (SME) approach, which enables to build appropriate...
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